CVE-2022-35985
Summary
| CVE | CVE-2022-35985 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-09-16 22:15:00 UTC |
| Updated | 2022-09-20 14:53:00 UTC |
| Description | TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
Risk And Classification
Problem Types: CWE-617
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | All | All | All | All | |
| Application | Tensorflow | 2.10 | rc0 | All | All | |
| Application | Tensorflow | 2.10 | rc1 | All | All | |
| Application | Tensorflow | 2.10 | rc2 | All | All | |
| Application | Tensorflow | 2.10 | rc3 | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| `CHECK` fail in `LRNGrad` · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| Fix security vulnerability with LRNGradOp · tensorflow/tensorflow@bd90b3e · GitHub | MISC | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.